{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "! pip install einops\n",
    "! pip install transformers==4.50.0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Loading checkpoint shards: 100%|██████████| 2/2 [00:00<00:00,  3.30it/s]\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1080x1600 with 36 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from transformers import Qwen2_5_VLForConditionalGeneration, AutoProcessor\n",
    "import torch\n",
    "import matplotlib.pyplot as plt\n",
    "from qwen_vl_utils import process_vision_info\n",
    "import math \n",
    "\n",
    "def calculate_plt_size(attention_layer_num):    \n",
    "    num_layers = attention_layer_num\n",
    "    cols = math.ceil(math.sqrt(num_layers))  \n",
    "    rows = math.ceil(num_layers / cols)     \n",
    "    return rows, cols\n",
    "\n",
    "device = 'cuda'\n",
    "model_path = 'Qwen/Qwen2.5-VL-3B-Instruct'\n",
    "\n",
    "model = Qwen2_5_VLForConditionalGeneration.from_pretrained(\n",
    "                model_path,\n",
    "                torch_dtype=torch.bfloat16,\n",
    "                attn_implementation=\"eager\",\n",
    "            ).eval().to(device)\n",
    "processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, padding_side='left', use_fast=True)\n",
    "\n",
    "image_path = './images/demo1.png'\n",
    "question = 'what is the date of the photo?'\n",
    "\n",
    "messages_query = [\n",
    "    {\n",
    "        \"role\": \"user\",\n",
    "        \"content\": [\n",
    "            {\"type\": \"image\", \"image\": image_path, \"max_pixels\": 512*28*28},\n",
    "            {\"type\": \"text\", \"text\": f\"{question} Answer the question using a single word or phrase.\"},\n",
    "        ],\n",
    "    }\n",
    "]\n",
    "\n",
    "image_inputs, _ = process_vision_info(messages_query)\n",
    "\n",
    "text_query = processor.apply_chat_template(\n",
    "    messages_query,\n",
    "    tokenize=False,\n",
    "    add_generation_prompt=True\n",
    ")\n",
    "\n",
    "inputs = processor(\n",
    "    text=[text_query],\n",
    "    images=image_inputs,\n",
    "    padding=True,\n",
    "    return_tensors=\"pt\",\n",
    ").to(device)\n",
    "\n",
    "messages_general = [\n",
    "    {\n",
    "        \"role\": \"user\",\n",
    "        \"content\": [\n",
    "            {\"type\": \"image\",\"image\": image_path,\"max_pixels\": 512*28*28},\n",
    "            {\"type\": \"text\", \"text\": \"Write a general description of the image. Answer the question using a single word or phrase.\"},\n",
    "        ],\n",
    "    }\n",
    "]\n",
    "\n",
    "text_general = processor.apply_chat_template(\n",
    "    messages_general,\n",
    "    tokenize=False,\n",
    "    add_generation_prompt=True\n",
    ")\n",
    "\n",
    "general_inputs = processor(\n",
    "    text=[text_general],\n",
    "    images=image_inputs,\n",
    "    padding=True,\n",
    "    return_tensors=\"pt\",\n",
    ").to(device)\n",
    "\n",
    "image_inputs_aux = processor.image_processor(images=image_inputs)\n",
    "output_shape = image_inputs_aux[\"image_grid_thw\"].numpy().squeeze(0)[1:]/2\n",
    "output_shape = output_shape.astype(int)\n",
    "\n",
    "with torch.no_grad():\n",
    "    vision_start_token_id = processor.tokenizer.convert_tokens_to_ids('<|vision_start|>')\n",
    "    vision_end_token_id = processor.tokenizer.convert_tokens_to_ids('<|vision_end|>')\n",
    "    pos = inputs['input_ids'].tolist()[0].index(vision_start_token_id) + 1\n",
    "    pos_end = inputs['input_ids'].tolist()[0].index(vision_end_token_id)\n",
    "\n",
    "    output = model(**inputs, output_attentions=True)\n",
    "    general_output = model(**general_inputs, output_attentions=True)\n",
    "    rows, cols = calculate_plt_size(len(output.attentions))\n",
    "    fig, axes = plt.subplots(rows, cols, figsize=(10.8, 16))\n",
    "    for i, ax in enumerate(axes.flatten()):\n",
    "        if i < len(output.attentions): \n",
    "            att = output.attentions[i][0, :, -1, pos:pos_end].mean(dim=0)\n",
    "            att = att.to(torch.float32).detach().cpu().numpy()\n",
    "\n",
    "            general_att = general_output.attentions[i][0, :, -1, pos:pos_end].mean(dim=0)\n",
    "            general_att = general_att.to(torch.float32).detach().cpu().numpy()\n",
    "\n",
    "            att = att / general_att\n",
    "\n",
    "            ax.imshow(att.reshape(output_shape), cmap=\"viridis\", interpolation=\"nearest\")\n",
    "            ax.set_title(f\"Layer {i+1}\")\n",
    "            ax.axis(\"off\")\n",
    "        else:\n",
    "            ax.axis(\"off\")\n",
    "\n",
    "    plt.tight_layout()    \n",
    "    plt.show()    "
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "safe_e",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.16"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
